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Salt are recruiting for an immediate requirement with a local government client of ours who is looking for a Machine Learning Ops Engineer (Data & Analytics).
This will be an Inside IR35 contract for 12 months initially. It would be a mainly hybrid role with 2 days a week expected in office, based in South East London.
Experience:
* Study and transform data science prototypes, applying the appropriate machine learning algorithms and tools
* Implement and optimise machine learning algorithms using programming languages such as Python, and Scala.
* Utilise machine learning libraries and frameworks such as PyTorch, ONNX, and XGBoost.
* Implement machine learning models in production environments and oversee their performance using relevant metrics.
* Implement MLOps best practiceses to improve the development, deployment and monitoring of ML models
* Document machine learning processes, methodologies, and results to facilitate knowledge sharing and collaboration.
* Stay current with the most recent developments in machine learning research, methodologies, and technologies, integrating them seamlessly into our workflow.
* ML Ops Engineer experience of at least 3 years on projects of a similar size, scale and nature to RUC Secondary ANPR.
* Experience in Python and Scala in relation to ML models.
* Experience designing and implementing cloud solutions and ability to build MlOps Pipelines on Azure Cloud.
* High-level expertise in the Python programming language including PySpark,
* Proficiency in utilising machine learning libraries and frameworks like PyTorch, ONNX, and XGBoost.
* Strong understanding of software testing and CI/CD principles and version control (Git, MLFlow) for automated deployment of machine learning systems
* Familiarity with our systems (Azure cloud platform covering Azure DevOps Pipelines, Azure Functions, AzureML, Azure Databricks, CosmosDB) is desirable
